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AC openclaw-theme-patcher

Add, refine, calibrate, or migrate OpenClaw Control UI themes by patching the installed bundled frontend assets in dist/control-ui/assets. Use when a user wants a new WebUI theme, wants colors matched to a reference theme such as VSCode, wants chat/component styling tuned inside a custom theme, or wants an existing custom theme preserved across an OpenClaw upgrade.

ClawHub Agent Skills author: ailough v1.0.0 MIT-0 6 files · 1 script body ≈ 3 100 tokens Open the sourceclawhub.ai↗ analyzed 5 d ago

Add, refine, calibrate, or migrate OpenClaw Control UI themes by patching the installed bundled frontend assets in dist/control-ui/assets.

As a process C 58/100 · Has gaps — weak spots: result and completion, inputs and preconditions

ProcedureVS CodeSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
91
Run on models
none yet
Process rating
C
58/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
50
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 0

    ✓ No critical or high findings

    Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 58/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 50When it triggers. No condition that starts the skill
    • 50Failures and branches. 0 branches, has a failure section
    • 60Steps. 114 steps, 4 vague phrases
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3100 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +3Description length 367: enough signal without eating the budget
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 114 items
    • +4Has examples (6 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: suspicious
    The skill has a coherent theme-patching purpose, but it should be reviewed because its helper script can run unsafe shell commands and can write backups outside the intended directory.
    LLM: suspicious (high) · VirusTotal: · 16 Sept 2026